A decision tree for assessing the risks and benefits of publishing biodiversity data
- PMID: 30038417
- DOI: 10.1038/s41559-018-0608-1
A decision tree for assessing the risks and benefits of publishing biodiversity data
Abstract
Inadequate information on the geographical distribution of biodiversity hampers decision-making for conservation. Major efforts are underway to fill knowledge gaps, but there are increasing concerns that publishing the locations of species is dangerous, particularly for species at risk of exploitation. While we recognize that well-informed control of location data for highly sensitive taxa is necessary to avoid risks, such as poaching or habitat disturbance by recreational visitors, we argue that ignoring the benefits of sharing biodiversity data could unnecessarily obstruct conservation efforts for species and locations with low risks of exploitation. We provide a decision tree protocol for scientists that systematically considers both the risks of exploitation and potential benefits of increased conservation activities. Our protocol helps scientists assess the impacts of publishing biodiversity data and aims to enhance conservation opportunities, promote community engagement and reduce duplication of survey efforts.
Comment in
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Open data offer risks and rewards for conservation.Nature. 2018 Jul;559(7715):444. doi: 10.1038/d41586-018-05800-y. Nature. 2018. PMID: 30042545 No abstract available.
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Consider species specialism when publishing datasets.Nat Ecol Evol. 2019 Mar;3(3):319. doi: 10.1038/s41559-019-0803-8. Nat Ecol Evol. 2019. PMID: 30742101 No abstract available.
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Decision trees for data publishing may exacerbate conservation conflict.Nat Ecol Evol. 2019 Mar;3(3):318. doi: 10.1038/s41559-019-0804-7. Nat Ecol Evol. 2019. PMID: 30742102 No abstract available.
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